Data World

"There is no such thing as
past or future"


Carlo Rovelli

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Data Strategy,
Governance & Security


We help organizations and their business models become data-driven, increasing their innovation speed. This requires a clear strategy, suitable governance, and rock-solid security for data on-premise, in the cloud, and on the edge.

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Data Democratization
& Literacy


There is a growing need for democratization of data. It is enabled by the rise of new visualization and analytics tools that make data accessible and usable by everyone. We believe that as data gets more pervasive, data literacy among employees becomes a basic requirement.

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Data Storytelling
& Insights


No value can be created from data unless insights are uncovered and translated into actions or business outcomes. We create compelling stories around data to describe the world and society we live in and help our clients do so.

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Data
Engineering


When it comes to implementation of reliable data supply for all possible use cases throughout the organization, IT excellence is required. We are second to none when it comes to technology design and development of all kinds of data applications. 

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Data
Mesh


Instead of building large, centralized data platforms, enterprise data architects can create distributed datasets, or data meshes. Our teams know how to design data into data types and file formats that will meet the needs of data consumers throughout an organization.

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Data Streaming &
Event-driven applications


In today’s fast-paced world data can get very quickly outdated. We help organizations to use their data with near zero latency thanks to real-time data streams and analytics as well as event-driven applications. 

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ML and AI
Operations


Analyzing data is knowing without acting. Applying complex algorithms on data in operational processes is automated acting. We believe that operationalization of data and ML/AI models leads to great competitive advantages for our clients.

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Data and Computation
on the Edge


As edge devices become more powerful, there are many more possibilities for processing large amounts of data and complex models. This enables the rise of intelligent machines like robots and opens new paradigms in workload splits between cloud and edge in the area of IoT.

Case studies & best practices

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Data is one of the most valuable assets that your company possesses. With our products and accelerators, you can reach results with greater flexibility and speed.

Insights

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AI-Powered Data Automation

White Paper

Reply strongly believes in the AI-Powered Data Automation approach: we are exploring, testing the tools and experimenting with them in order to better understand the advantages and disadvantages.

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Data Mesh vs Data Fabric: The Ultimate Guide

Best Practice

Modern applications for Big Data confront us with new challenges, usually related to where data resides, how it can be used and who could benefit from its use. Find out how to choose between Data Mesh and Data Fabric as functional architectural framework for your business.

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A new approach to data storytelling

White Paper

An innovative AI approach based on Natural Language Generation that allows the automatic generation of data stories.

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